Airship AI Holdings, Inc. (AISP) Company Overview

US | Technology | Software - Infrastructure | NASDAQ

What does Airship AI Holdings do?

2006
Operating history began; public listing followed in December 2023
1 segment
Single reportable operating segment in the Q1 2026 Form 10-Q
92
Customers served during FY2025
63
Employees at December 31, 2025

Airship AI Holdings, Inc. is a Nasdaq-listed edge artificial-intelligence and video-data management company. Its software and appliances help government agencies and large enterprises collect, secure, search, analyze, and act on video, audio, and sensor data. It sells mission-oriented systems that process data near cameras and sensors, then federate the results into an operational view.

The official platform description connects edge inference, enterprise data management, and command workflows. Customers can add intelligence without replacing every camera, recorder, or management system.

How do the platform layers fit together?

Offering Primary function Economic role Why customers care
Outpost AI Edge recording, encoding, AI detection, OCR, analytics, and encrypted streaming near cameras and sensors. Drives appliance, embedded-software, deployment, and follow-on support revenue. Local processing can reduce bandwidth needs and keep sensitive workloads close to the source. The Outpost AI product page describes the edge capabilities.
Acropolis Federated video and sensor management across distributed sites, from small deployments to networks with thousands of devices. Creates software, integration, maintenance, and expansion opportunities. The Acropolis platform is designed to unify heterogeneous systems in one operating layer.
Airship Command and services Operational workflows, integrations, custom AI model work, engineering, and cleared support. Adds professional-services revenue and can deepen account dependence over a multi-year engagement. Mission-specific workflows matter because federal and critical-infrastructure users often need customized authorization, cybersecurity, and integration work.
Edge AIVideo intelligenceFederal securityEnterprise integrationOn-premise deployment

Airship AI addresses the junction between legacy physical-security infrastructure and newer AI analytics. Customers may already operate Genetec, Milestone, Avigilon, Hanwha, Bosch, or other video ecosystems. Airship seeks to become the intelligence layer across them, making interoperability, security accreditation, deployment speed, and trust more important than model novelty alone.

How does Airship AI make money?

Airship AI earns revenue from product deployments, post-contract support, and other services. Products combine hardware appliances with software; support is recognized over the contract period; services include engineering, custom model work, integration, and workflow design. Management evaluates the platform as one operating segment.

75%Approximately three quarters of quarterly revenue is transactional and commonly recognized in the same quarter, according to the Q1 2026 earnings materials. This makes order timing unusually important.

Which revenue stream mattered most in Q1 2026?

Revenue mix — quarter ended March 31, 2026
$6.353M
Product — $3.949M — 62.2%
Post-contract support — $2.381M — 37.5%
Other services — $0.023M — 0.3%
The mix is calculated from the official Q1 2026 revenue categories; rounded shares sum to the whole.
Product economics
Deployment-led
Large orders can create immediate revenue but also produce quarter-to-quarter volatility and customer concentration.
Support economics
Contract-life revenue
Maintenance and sustainment improve visibility because revenue is recognized over the support term.
Services economics
Account-specific
Engineering and integration can help win complex programs, although the standalone revenue category is currently small.

Why does support revenue improve the business model?

Post-contract support more than doubled year over year to $2.381M in Q1 2026. A larger support base reduces dependence on one-time shipments and creates renewal, refresh, and site-expansion opportunities.

Airship AI is not yet a conventional recurring-revenue software company. Its FY2025 Form 10-K says most revenue still comes from bundled on-premise systems, with limited standalone subscriptions. A model should separate transactional deployments, support, and future subscription potential rather than applying a uniform SaaS multiple.

What does Airship AI's latest quarter show?

$6.353M
Revenue, Q1 2026; up 15.4% from Q1 2025
$3.166M
Gross profit, Q1 2026; up 41.7% year over year
49.8%
Calculated gross margin, Q1 2026
$0.814M
Operating cash inflow, Q1 2026

The newest full reporting package covers the quarter ended March 31, 2026. Airship AI's Q1 2026 earnings release showed stronger gross profit, a narrower operating loss, positive operating cash flow, and higher cash than at year-end. Operations were not yet profitable, but the direction improved from 2025.

Metric Q1 2026 result Year-over-year signal Interpretation
Revenue $6.353M 15.4% growth Commercial deployments and higher support revenue restored growth.
Gross profit / margin $3.166M / 49.8% 41.7% gross-profit growth Mix and execution improved gross profitability.
Operating loss $(1.582)M Narrower loss SG&A still exceeded gross profit.
Net loss / diluted EPS $(0.721)M / $(0.02) Improved Fair-value movements make operating economics the cleaner signal.
Operating cash flow $0.814M Turned positive Collections and deferred revenue supported cash generation.
Cash $12.568M
March 31, 2026
Higher than year-end Liquidity improved modestly during the quarter.

What drove the improvement?

Product revenue was $3.949M in Q1 2026, while support drove total growth. Accounts receivable declined to $5.379M at March 31, 2026, and higher deferred revenue also helped cash flow.

Why is GAAP net income an imperfect performance measure here?

Public-warrant and earnout liabilities are remeasured through earnings, so noncash fair-value movements can dominate net income without changing demand, gross margin, or operating cash. Operating loss, cash flow, support mix, and liquidity therefore provide a steadier view than GAAP net income alone. The accounting detail appears in the official Q1 2026 Form 10-Q.

Which turning points still shape Airship AI today?

Airship AI's history is a sequence of commercialization and capital-structure changes. After years developing edge-video capabilities, it entered public markets and began pursuing larger federal and commercial programs. That transition explains both the opportunity and the volatility.

  1. 2006
    The operating company was founded around secure video and sensor management. The long operating history supports domain knowledge in physical security, even though public-company reporting is recent.
  2. December 2023
    The business combination with BYTE Acquisition Corp. closed, and AISP began Nasdaq trading. The transaction announcement marked the shift to public equity, warrants, earnout shares, and greater disclosure obligations.
  3. FY2024
    Revenue reached $23.1M, up 87% from $12.3M in FY2023, primarily because of large federal orders. The FY2024 results demonstrated scale potential but also established a difficult comparison base.
  4. FY2025
    Federal budget and acquisition disruption reduced revenue to $15.321M. Gross margin still improved, showing that mix and delivery quality can strengthen even when shipment timing weakens.
  5. Q1 2026
    Revenue returned to growth, support revenue expanded, and operating cash flow turned positive. Management also emphasized Outpost AI, Acropolis, Ask Airship, Fortress, and early autonomous-robotics initiatives.
  6. June 2026
    Airship AI announced a $1.9M one-year maintenance and sustainment award from an existing Fortune 100 transportation and e-commerce customer, plus smaller orders expected to ship during 2026 and early 2027. The follow-on award supports the case for commercial account expansion.

What did the public-market transition change?

Public capital expanded financing access but introduced warrants, earnout liabilities, and dilution. Airship can invest more in product development, authorizations, partner channels, and commercial expansion, while investors must analyze both execution and capital structure. The scale-up challenge is to professionalize sales and finance without losing the deployment expertise that won early customers.

What gives Airship AI a competitive advantage?

Relative strategic strengths
Legacy-system interoperabilityStrong — overlay model
Federal security credentialsStrong — high barriers
Customer switching frictionModerate — integration depth
Patent protectionLimited — no patents
Commercial constraints
Scale versus larger vendorsWeak — small revenue base
Revenue diversificationWeak — concentrated accounts
Recurring revenue mixImproving — support growth
Deployment specializationStrong — mission focus
Airship AI's moat is less about owning the camera ecosystem and more about becoming the trusted intelligence layer across systems the customer already owns.

Why does “no rip and replace” matter?

Large organizations rarely replace an entire surveillance estate to add analytics. Existing cameras, storage, networks, authorizations, and training create high replacement cost. Airship's cross-platform approach lowers deployment friction. Federal sourcing compliance, authorization work, and cleared support personnel also create capabilities that a generic analytics startup cannot reproduce quickly.

Competitive arena Airship AI position Pressure point Research implication
Installed video-management ecosystems Integrates with platforms such as Genetec, Milestone, Avigilon, Hanwha, and Bosch rather than requiring wholesale replacement. Incumbents can add native analytics and bundle features into broader suites. Watch whether Airship wins as a neutral overlay or gets squeezed by platform bundling.
Federal mission systems Competes on accreditation, security, custom workflows, edge processing, and deployment knowledge. Procurement cycles are slow and larger contractors have deeper balance sheets. Awards and authorization milestones matter more than broad AI-market narratives.
Commercial enterprise security Uses reference accounts and integrator channels to extend Acropolis and sustainment revenue. Customers may choose large integrated vendors with global service coverage. Repeat orders and support renewals are the clearest proof of product fit.

Where is the moat weaker?

The FY2025 filing says Airship has no patents and relies on trade secrets, know-how, contracts, and execution. Its advantage therefore depends on retaining technical talent, customer relationships, security credentials, and implementation speed. Larger competitors can outspend it in models, sales, cloud infrastructure, and bundling, so defensibility must appear in retention, expansion, margin, and repeatable deployments.

Which KPIs best explain Airship AI's performance?

Annual revenue trend — FY2023 to FY2025
$12.3MFY2023
$23.1MFY2024
$15.321MFY2025
The series shows the scale of federal-order volatility: strong FY2024 growth followed by a FY2025 procurement-driven decline.

Why are pipeline and backlog not interchangeable?

Airship reported a $165.3M opportunity pipeline and $4.6M backlog as of May 8, 2026. Pipeline covers potential awards over roughly 18 to 24 months and is not contracted revenue. Backlog is firmer, yet management says it is not predictive because transactional awards may be booked and recognized within one quarter.

KPI Latest official signal How to interpret it
Transactional revenue share About 75%, Q1 2026 commentary Explains why reported growth can swing with contract timing and shipment acceptance.
Post-contract support $2.381M, Q1 2026 A rising support base improves visibility and signals a larger installed footprint.
Gross margin 49.8%, Q1 2026 Tracks product mix, hardware cost, pricing, services content, and deployment execution.
Customer concentration 87% of FY2025 revenue from four customers High concentration magnifies both successful expansions and delayed procurements.
Operating cash flow $0.814M, Q1 2026 Shows whether collections, deferred revenue, and operating costs are converting accounting revenue into liquidity.
Opportunity conversion $165.3M pipeline versus $4.6M backlog, May 8, 2026 The valuation case depends on converting qualified opportunities into funded, deliverable awards.

Why does gross margin deserve special attention?

49.8%
Q1 2026 gross margin. The arc equals gross profit of $3.166M divided by revenue of $6.353M. A durable margin near this level would give the company more room to fund R&D and sales without depending as heavily on external capital.

Gross margin improved during FY2025 and remained 49.8% in Q1 2026. Operating leverage has not arrived because expenses remain large relative to gross profit. The key test is whether revenue can grow faster than SG&A without weakening delivery or support.

How financially strong is Airship AI?

Liquidity at March 31, 2026
$12.568M cash
Current assets were $18.257M versus current liabilities of $7.201M.
Current ratio at March 31, 2026
2.53x
Calculated as current assets divided by current liabilities; liquidity is healthier than the deficit in book equity suggests.
Deferred revenue at March 31, 2026
$9.127M
A meaningful base of contracted support and performance obligations.

Why are liquidity and book equity telling different stories?

Airship AI reported negative stockholders' equity at March 31, 2026. Historical losses and fair-value warrant and earnout obligations weigh on book equity and create earnings volatility, although those remeasurements do not necessarily require immediate cash payment.

Financial line FY2025 Q1 2026 / March 31, 2026 What it says
Revenue $15.321M $6.353M The quarterly run rate improved, but one quarter should not be annualized mechanically.
Operating loss $(7.216)M $(1.582)M Airship still needs greater gross-profit scale to cover R&D and SG&A.
Operating cash flow $(8.005)M $0.814M Q1 improved sharply, but the FY2025 burn remains the more conservative baseline.
Cash $11.750M
December 31, 2025
$12.568M
March 31, 2026
The cash buffer increased during Q1 2026.

How should capital allocation be read?

FY2025 operating cash flow
$(8.005)M
Cash consumed by operations during the federal slowdown.
Financing dependence
Material
Warrant exercises helped offset FY2025 operating cash use.
Q1 2026 R&D
$0.844M
Investment increased year over year.
Q1 2026 SG&A
$3.904M
The largest operating cost and the key line for future leverage.

Airship is prioritizing product development, sales capacity, partner channels, and early robotics work rather than distributions. The Q1 2026 filing identified 22.754M potentially dilutive securities excluded from diluted EPS. Exercises may add cash, but dilution reduces each existing share's claim.

Who owns Airship AI stock, and why does control matter?

Airship AI has one common-stock class with one vote per share, but founders and executives hold substantial stakes. The latest proxy measured ownership on October 16, 2025, when 34.176M shares were outstanding.

Holder or group Beneficial ownership Percent Governance significance
Victor Huang, founder, chairman and CEO Founder stake 23.1% Strong influence over strategy, leadership continuity, and long-term product direction.
Derek Xu, co-founder, COO and director Founder stake 24.4% Meaningful alignment with operating execution and customer delivery.
Directors and executive officers as a group Leadership group 46.8% The group can exert substantial influence without a controlled-company share class.
Armistice Capital Master Fund External holder 13.2% A large outside holder can matter for financing, governance dialogue, and liquidity.
Board structure Majority independent One-share-one-vote Independent oversight coexists with a combined chairman and CEO role.

Founder influence is an asset and a governance trade-off

Founder ownership can support patient investment in accreditations, edge architecture, and long-cycle federal relationships, but it concentrates authority. The 2025 definitive proxy statement shows Victor Huang as chairman and CEO and Derek Xu as COO and a director. Monitor independent oversight, equity-plan expansion, and whether incentives reward sustainable cash generation.

What opportunities and risks could change Airship AI's story?

Commercial account expansion
Track repeat orders, maintenance renewals, and integrator-led deployments. The June 2026 Fortune 100 follow-on award is a useful proof point.
Federal award conversion
Watch funded awards, shipment dates, and agency procurement conditions—not the pipeline headline by itself.
Support and subscription mix
A larger recurring base could reduce quarterly volatility and improve lifetime customer economics.
Agentic AI and robotics
Pilots may expand the addressable market, but management did not expect early robotics work to be materially revenue-producing during 2026.
Operating leverage
Gross profit must grow faster than SG&A for the company to reach its stated goal of cash-flow-positive operations before the end of 2026.
Capital structure
Monitor warrant exercises, earnout shares, equity grants, and any additional financing required to fund growth.

Which risks are most financially material?

Risk Official evidence Financial line affected What to monitor
Customer concentration Four customers generated 87% of FY2025 revenue, and receivables were also highly concentrated at December 31, 2025. Revenue, receivables, cash conversion, and pricing power. Customer count, concentration trend, renewals, and collections.
Federal budget and procurement timing FY2025 revenue fell materially from FY2024 after unusually large federal orders and subsequent acquisition disruption. Product revenue, backlog, utilization, and operating loss. Appropriations, award dates, protests, funding notices, and shipment acceptance.
Competition and technology substitution The company competes with larger, better-capitalized platform and security vendors and has no patent portfolio. Win rates, gross margin, R&D intensity, and sales expense. Partner ecosystem, feature parity, deployment speed, and retention.
Cybersecurity and mission reliability Products process sensitive video and sensor data in critical environments. Remediation costs, contract eligibility, reputation, and liability. Security certifications, incidents, authorization status, and product quality.
Financing and dilution 22.754M potentially dilutive securities were excluded from Q1 2026 diluted EPS. Per-share value, cash balance, warrant liability, and equity compensation. Exercise activity, share count, registration statements, and capital needs.

The opportunity is credible but conditional. Commercial sustainment can create repeatable support revenue, federal programs can be large relative to the current base, and edge AI suits environments constrained by latency, bandwidth, privacy, or resilience. Yet the small revenue base, customer concentration, and high operating costs leave little room for execution error. Airship must invest ahead of demand while converting pipeline fast enough to preserve liquidity.

What is the key takeaway from Airship AI analysis?

Which variables matter most in a DCF?

A valuation model should center on contract conversion and cash economics, not a generic AI growth rate. Separate transactional deployments from support or subscriptions, and model margin by hardware, software, services, and scale. Q1 2026 SG&A of $3.904M exceeded gross profit of $3.166M. Working capital helped Q1 cash flow, while FY2025 operating cash use of $(8.005)M shows the downside when orders slow.

Revenue conversion
Use backlog and awarded contracts as firmer inputs; probability-weight the $165.3M May 2026 pipeline rather than treating it as booked sales.
Margin durability
Test whether gross margin can remain near 50% as product volume, commercial mix, and support revenue change.
Cash break-even
Measure the revenue level at which gross profit covers R&D and SG&A without relying on favorable working-capital timing.
Per-share dilution
Model warrants, earnout shares, options, and future equity issuance separately from enterprise operating value.

Terminal value deserves caution because Airship lacks stable annual free cash flow. Use scenarios for federal timing, commercial repeat business, support mix, leverage, and financing. The discount rate should reflect small-company volatility, concentration, and execution risk.

Airship AI is a specialized edge-intelligence platform with credible deployment advantages, improving support economics, and meaningful federal and commercial opportunity—but it is still proving scale.
The strongest evidence is the Q1 2026 return to growth, nearly 50% gross margin, positive operating cash flow, and June 2026 commercial follow-on award. The principal weaknesses are customer concentration, procurement volatility, operating losses, limited patent protection, and potential dilution. Students and investors should monitor support revenue, funded awards, gross margin, SG&A leverage, operating cash flow, cash balance, and fully diluted share count. Those variables—not the size of the AI market alone—will determine whether Airship AI converts technical relevance into durable per-share value.

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